[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-03389060.html
   My bibliography  Save this paper

Are Business Policy Measures in Response to the COVID-19 Pandemic to Be Equally Valued? An Exploration According to SMEs Owners' Business Expectations

Author

Listed:
  • Charlie Tchinda

    (UCM - Union des Classes Moyennes, UNamur - Université de Namur [Namur])

  • Marcus Dejardin

    (UNamur - Université de Namur [Namur], UCL - Université Catholique de Louvain = Catholic University of Louvain)

Abstract
A variety of public economic policy measures have been designed and implemented in an effort to enable SMEs to limit damages resulting from the adverse sanitary and economic shocks associated with COVID-19. The originality of our study is to propose a rating of the various economic policy measures, the rating being expressed by SMEs owners conditional to their business expectations. In so doing, our contribution is to highlight the policy measures to be implemented in order to support resilient and ambitious ventures with the most positive prospects, which are likely to contribute the most to economic recovery. We exploit an original and rich dataset derived from a survey conducted in May 2020 among a representative sample of more than 2100 Belgian (Walloon) SMEs. The Belgian experience is remarkable because the wide variety of measures it undertook echoes many of the measures taken by OECD countries. Our results suggest that the respondents have an overall positive evaluation of the various economic and social policy measures implemented by the Belgian authorities. More importantly, the rating by SME owners with the most favorable expectations are, however, significantly different than their counterpart. Measures helping firms to maintain their workforce are particularly highly rated by firms with the best prospects. It also appears that those firms prefer short-term and transitory measures.

Suggested Citation

  • Charlie Tchinda & Marcus Dejardin, 2021. "Are Business Policy Measures in Response to the COVID-19 Pandemic to Be Equally Valued? An Exploration According to SMEs Owners' Business Expectations," Post-Print halshs-03389060, HAL.
    • Handle: RePEc:hal:journl:halshs-03389060
    DOI: 10.3390/su132111576
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03389060
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-03389060/document
    Download Restriction: no
    File URL: https://libkey.io/10.3390/su132111576?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Robert W. Fairlie, 2020. "The Impact of Covid-19 on Small Business Owners: The First Three Months after Social-Distancing Restrictions," CESifo Working Paper Series 8581, CESifo.
    2. Charles A.E. Goodhart & Dimitrios P. Tsomocos & Xuan Wang, 2023. "Support for small businesses amid COVID‐19," Economica, London School of Economics and Political Science, vol. 90(358), pages 612-652, April.
    3. Nicholas Bloom & Stephen J. Davis & Lucia Foster & Brian Lucking & Scott Ohlmacher & Itay Saporta Eksten, 2020. "Business-Level Expectations and Uncertainty," Working Papers 2020-181, Becker Friedman Institute for Research In Economics.
    4. Dan Andrews & Filippos Petroulakis, 2017. "Breaking the Shackles: Zombie Firms, Weak Banks and Depressed Restructuring in Europe," OECD Economics Department Working Papers 1433, OECD Publishing.
    5. Pierre-Olivier Gourinchas & Ṣebnem Kalemli-Özcan & Veronika Penciakova & Nick Sander, 2020. "SME Failures Under Large Liquidity Shocks: An Application to the COVID-19 Crisis," NBER Working Papers 27877, National Bureau of Economic Research, Inc.
    6. Pierre-Olivier Gourinchas & Ṣebnem Kalemli-Özcan & Veronika Penciakova & Nick Sander, 2020. "COVID-19 and SME Failures," FRB Atlanta Working Paper 2020-21, Federal Reserve Bank of Atlanta.
    7. Jean Bonnet & Sylvie Cieply & Marcus Dejardin, 2016. "Credit rationing or overlending? An exploration into financing imperfection," Applied Economics, Taylor & Francis Journals, vol. 48(57), pages 5563-5580, December.
    8. Kahn, Charles M. & Wagner, Wolf, 2021. "Liquidity provision during a pandemic," Journal of Banking & Finance, Elsevier, vol. 133(C).
    9. Segura, Anatoli & Villacorta, Alonso, 2020. "Firm-bank linkages and optimal policies in a lockdown," CEPR Discussion Papers 14838, C.E.P.R. Discussion Papers.
    10. Richard Williams, 2010. "Fitting heterogeneous choice models with oglm," Stata Journal, StataCorp LP, vol. 10(4), pages 540-567, December.
    11. Yatchew, Adonis & Griliches, Zvi, 1985. "Specification Error in Probit Models," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 134-139, February.
    12. Robert Fairlie & Frank M. Fossen, 2022. "The early impacts of the COVID-19 pandemic on business sales," Small Business Economics, Springer, vol. 58(4), pages 1853-1864, April.
    13. Lin, Yini & Wu, Lei-Yu, 2014. "Exploring the role of dynamic capabilities in firm performance under the resource-based view framework," Journal of Business Research, Elsevier, vol. 67(3), pages 407-413.
    14. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204.
    15. Groenewegen, Jesse & Hardeman, Sjoerd & Stam, Erik, 2021. "Does COVID-19 state aid reach the right firms? COVID-19 state aid, turnover expectations, uncertainty and management practices," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
    16. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    17. Alexander W. Bartik & Marianne Bertrand & Zoe Cullen & Edward L. Glaeser & Michael Luca & Christopher Stanton, 2020. "The impact of COVID-19 on small business outcomes and expectations," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(30), pages 17656-17666, July.
    18. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
    19. Rory Wolfe & William Gould, 1998. "An approximate likelihood-ratio test for ordinal response models," Stata Technical Bulletin, StataCorp LP, vol. 7(42).
    20. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohammad Ali Alharbi & Mohd Saidin Misnan & Nur Izieadiana Abidin, 2024. "A Conceptual Model of Business Best Practices and Sustainability of MSMEs in Saudi Arabia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(5), pages 812-823, May.
    2. Luz Natalia Tobón Perilla & Elena Urquía Grande & Elisa Isabel Cano Montero, 2022. "Economic and Organizational Impact of COVID-19 on Colombia’s Tourism Sector," Sustainability, MDPI, vol. 14(20), pages 1-21, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wixe, Sofia & Nilsson, Pia & Naldi, Lucia & Westlund, Hans, 2017. "Disentangling Innovation in Small Food Firms: The role of External Knowledge, Support, and Collaboration," Working Paper Series in Economics and Institutions of Innovation 446, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Lafortune, Jeanne & Pugatch, Todd & Tessada, José & Ubfal, Diego, 2022. "Can interactive online training make high school students more entrepreneurial? Experimental evidence from Rwanda," GLO Discussion Paper Series 1041, Global Labor Organization (GLO).
    3. Xindong Xue & W. Robert Reed, 2015. "The Relationship Between Social Capital And Health In China," Working Papers in Economics 15/05, University of Canterbury, Department of Economics and Finance.
    4. Richard Williams, 2010. "Fitting heterogeneous choice models with oglm," Stata Journal, StataCorp LP, vol. 10(4), pages 540-567, December.
    5. Daiji Kawaguchi & Sagiri Kitao & Manabu Nose, 2022. "The impact of COVID-19 on Japanese firms: mobility and resilience via remote work," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(6), pages 1419-1449, December.
    6. Hiroyuki Okamuro & Yasushi Hara & Yunosuke Iwaki, 2022. "Impact of Consumer Awareness and Behavior on Business Exits in the Hospitality, Tourism, Entertainment, and Culture Industries under the COVID-19 Pandemic," Administrative Sciences, MDPI, vol. 12(4), pages 1-19, November.
    7. Albert, Christoph & Caggese, Andrea & González, Beatriz & Martin-Sanchez, Victor, 2023. "Income inequality and entrepreneurship: Lessons from the 2020 COVID-19 recession," Journal of Banking & Finance, Elsevier, vol. 149(C).
    8. Kozeniauskas, Nicholas & Moreira, Pedro & Santos, Cezar, 2022. "On the cleansing effect of recessions and government policy: Evidence from Covid-19," European Economic Review, Elsevier, vol. 144(C).
    9. Sofia Wixe & Pia Nilsson & Lucia Naldi & Hans Westlund, 2023. "The role of collaboration and external knowledge for innovation in small food firms," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 135-155, February.
    10. Wang, Wei & Miao, Wei & Liu, Yongdong & Deng, Yiting & Cao, Yunfei, 2022. "The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 128-141.
    11. Richard Williams, 2009. "Using Heterogeneous Choice Models to Compare Logit and Probit Coefficients Across Groups," Sociological Methods & Research, , vol. 37(4), pages 531-559, May.
    12. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    13. Nicholas Bloom & Philip Bunn & Paul Mizen & Pawel Smietanka & Gregory Thwaites, 2020. "The Impact of Covid-19 on Productivity," NBER Working Papers 28233, National Bureau of Economic Research, Inc.
    14. Takeda, Asami & Truong, Hoa T. & Sonobe, Tetsushi, 2022. "The impacts of the COVID-19 pandemic on micro, small, and medium enterprises in Asia and their digitalization responses," Journal of Asian Economics, Elsevier, vol. 82(C).
    15. Julian Oliver Dörr & Georg Licht & Simona Murmann, 2022. "Small firms and the COVID-19 insolvency gap," Small Business Economics, Springer, vol. 58(2), pages 887-917, February.
    16. Kawaguchi, Kohei & Kodama, Naomi & Tanaka, Mari, 2021. "Small business under the COVID-19 crisis: Expected short- and medium-run effects of anti-contagion and economic policies," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    17. Polo, Andrea & Altavilla, Carlo & Ellul, Andrew & Pagano, Marco & Vlassopoulos, Thomas, 2021. "Loan Guarantees, Bank Lending and Credit Risk Reallocation," CEPR Discussion Papers 16727, C.E.P.R. Discussion Papers.
    18. Bonfim, Diana & Custódio, Cláudia & Raposo, Clara, 2023. "Supporting small firms through recessions and recoveries," Journal of Financial Economics, Elsevier, vol. 147(3), pages 658-688.
    19. Wanger, Susanne, 2017. "What makes employees satisfied with their working time? : The role of working hours, time-sovereignty and working conditions for working time and job satisfaction," IAB-Discussion Paper 201720, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    20. Du, Zhili & Lin, Boqiang, 2017. "How oil price changes affect car use and purchase decisions? Survey evidence from Chinese cities," Energy Policy, Elsevier, vol. 111(C), pages 68-74.

    More about this item

    Keywords

    SMEs; self-employed; COVID-19; economic policy;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-03389060. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.